“I wouldn’t let the aggressor in the war squash my dreams,” says Ukrainian mathematician and MITx MicroMasters learner Tetiana Herasymova.
A new experiential learning opportunity challenges undergraduates across the Greater Boston area to apply their AI skills to a range of industry projects.
Stefanie Jegelka seeks to understand how machine-learning models behave, to help researchers build more robust models for applications in biology, computer vision, optimization, and more.
But the harm from a discriminatory AI system can be minimized if the advice it delivers is properly framed, an MIT team has shown.
Researchers used a powerful deep-learning model to extract important data from electronic health records that could assist with personalized medicine.
Lincoln Laboratory’s TeraByte InfraRed Delivery system sent data from a satellite to Earth at 100 Gbps — a rate that will transform future science missions.
In the fight against escalating cybercrime, boards need to deepen their cybersecurity competencies, explains Keri Pearlson, executive director of Cybersecurity at MIT Sloan.
New technique significantly reduces training and inference time on extensive datasets to keep pace with fast-moving data in finance, social networks, and fraud detection in cryptocurrency.
Hackathon explores policy solutions to challenges in cybersecurity, environmental justice, and city planning focused on post-pandemic efforts to build a better society.